Project Overview
This project involves a comprehensive analysis of the FIFA 22 dataset from Kaggle. Focusing on the relationship between players' wages, market value, and factors like league level and international reputation, we apply statistical techniques like regression models and ANOVA to draw meaningful insights.
The analysis, conducted with R and its powerful libraries, aims to shed light on the economic aspects of football, offering a unique perspective on player valuation.
Key Concepts & Methods
Statistical Analysis
Hypothesis Testing
Linear Regression
Logistic Regression
ANOVA
Data Visualization
R Programming
dplyr
tidyverse
ggplot2
gridExtra
knitr
emmeans